Data Scientist Intern

Job Description: Data Scientist Intern - AaronBux

Position: Data Scientist Intern

Location: Remote

Duration: 3-6 months (with potential for extension)

Hours: 15-20 hours per week

Compensation: Unpaid Internship / Academic Credit (if applicable)

About AaronBux:

AaronBux is an innovative financial and digital solutions company with a commitment to leveraging data-driven strategies to achieve business goals. We are seeking a motivated Data Scientist Intern to join our team. This role is ideal for individuals passionate about extracting meaningful insights from data, building predictive models, and supporting business decisions with analytical solutions.

Position Overview:

As a Data Scientist Intern, you will assist in analyzing data, developing machine learning models, and providing actionable insights. You’ll work with cross-functional teams to support marketing, sales, and product strategies, contributing to the optimization of AaronBux’s digital platforms and services.

Key Responsibilities:

• Data Collection and Preparation:
• Gather, clean, and preprocess structured and unstructured data from various sources (e.g., databases, APIs, external datasets).
• Assist in feature engineering and data transformation to ensure data is ready for analysis and modeling.

• Exploratory Data Analysis (EDA):
• Conduct EDA to uncover trends, patterns, and correlations that inform business strategies.
• Generate visualizations and summary reports to communicate findings to stakeholders.

• Predictive Modeling and Machine Learning:
• Develop, train, and evaluate machine learning models for predictive analytics, customer segmentation, and recommendation systems.
• Work with supervised and unsupervised learning techniques, including regression, classification, clustering, and more.

• Data-Driven Insights and Reporting:
• Translate data insights into business recommendations and strategies that drive growth.
• Present analysis and findings in clear, concise reports and dashboards using tools like Tableau, Power BI, or Python (matplotlib, seaborn).

• A/B Testing and Experimentation:
• Assist in designing and running A/B tests and controlled experiments to optimize product features, marketing campaigns, and customer engagement.
• Analyze test results and provide recommendations based on statistical significance and business impact.

• Collaboration and Cross-Functional Support:
• Work closely with marketing, sales, and product teams to support data needs and align strategies.
• Participate in meetings and brainstorming sessions to identify areas where data science can add value.

Qualifications:

• Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in Python (pandas, scikit-learn, NumPy) or R for data analysis and modeling.
• Familiarity with SQL for querying databases and extracting data.
• Experience with data visualization tools (e.g., Tableau, Power BI) and libraries (e.g., matplotlib, seaborn).
• Understanding of machine learning algorithms, including linear regression, decision trees, clustering, and neural networks.
• Strong analytical skills and a keen attention to detail.
• Ability to communicate complex ideas in a clear and understandable manner.
• Self-motivated, with a willingness to learn and adapt to new challenges.

What You’ll Gain:

• Hands-on experience with real-world data and projects.
• Exposure to the complete data science pipeline, from data collection to model deployment.
• Opportunities to work on impactful business problems and see your insights implemented.
• Mentorship and collaboration with experienced data scientists and analysts.
• Development of key data science skills that will prepare you for future roles in analytics and machine learning.